Data Apprentice
Canopius
Manchester (M2 3BD)
Closes in 13 days (Friday 5 June 2026)
Posted on 22 May 2026
Contents
Summary
Gaining experience of Data within a regulated industry which will be transferable across future roles. This role is designed to give the successful candidate a good overview and understanding of the various functions and tasks performed within the Data department at Canopius.
- Wage
-
£24,000 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday-Friday, hybrid working. Shifts TBC.
40 hours a week
- Start date
-
Tuesday 1 September 2026
- Duration
-
2 years
- Positions available
-
1
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
- Data Collection and Cleansing: Gathering data from various sources and ensuring its accuracy and consistency.
- Data Engineering: Using technology to structure and transform data into usable formats.
- Data Analysis: Using statistical techniques and software tools to analyse data sets.
- Reporting: Creating reports and dashboards to communicate insights derived from data analysis.
- Data Visualization: Creating visual representations of data to facilitate understanding and decision-making.
- Creation and development of ad-hoc dashboards for business needs.
- Data Governance: Assisting in the creation and maintenance of standards for our data and working to improve overall data quality.
- Data Quality: Support the investigation and remediation of data quality issues through root cause analysis, data validation, and collaboration with business stakeholders.
- Collaboration: Working with cross-functional teams such as actuaries and underwriters to leverage data for business improvement.
- Staying updated with advancements in data analysis techniques and tools relevant to the insurance industry.
- Learn how good data quality supports the use of AI and advanced analytics.
- Build independent relationships and be comfortable presenting across functions and lines of business.
- Assist the data team with ad hoc support and requests.
Where you'll work
100 Barbirolli Square
Manchester
M2 3BD
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
BPP PROFESSIONAL EDUCATION LIMITED
Training course
Data analyst (level 4)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
Training schedule
Requirements
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Problem solving skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
About this employer
Canopius is a global speciality (re)insurer with underwriting operations in Australia, Bermuda, Singapore, the UK and US. They are privately owned and one of the leading insurers in the Lloyd’s of London insurance market.
At Canopius they foster a distinctive, positive culture which enables them to bring their whole selves to work to flourish as people, and build a business which delivers profitable, sustainable results. Canopius operates a flexible, hybrid working model and is committed to providing an environment that challenges employees to be their best and where everyone's unique contributions are recognised, valued and respected.
After this apprenticeship
There will be opportunities across the business following completion of the apprenticeship.
Ask a question
The contact for this apprenticeship is:
BPP PROFESSIONAL EDUCATION LIMITED
The reference code for this apprenticeship is VAC2000032239.
Apply now
Closes in 13 days (Friday 5 June 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.